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Words 3481

Pages 14

D. C. SPENCER

1. Introduction. Attention will be confined to a group of problems centering around so-called schlicht functions—that is, functions regular in a given domain and assuming no value there more than once. The type of problem we consider involves determination of precise bounds for certain quantities depending on the function/, as ƒ ranges over the schlicht functions in question. Since, for suitable normalization of the functions at some fixed point of the domain, the resulting family of functions is compact or normal, the extremal schlicht functions always exist and the problem is to characterize them. Interest was focused on this category of questions by the work of Koebe in the years 1907-1909, who established for the family of funct i o n s / o f the form ƒ(z) = z+a2Z2+aszz+ • • • , schlicht and regular in \z\ < 1 , a series of properties, among them the theorem of distortion bearing Koebe's name. This theorem asserts the existence of bounds for the absolute value of the derivative ƒ'(s), these bounds depending only on \z\. Further efforts were directed toward finding the precise values of the bounds asserted by Koebe's theorem, but success was not attained until 1916 when Bieberbach, Faber, Pick and others gave a final form to the theorem of distortion. At the same time the precise bound for | a2\ was given, namely 2, and the now famous conjecture was made that \an\ ^n for every n. Since 1916 this group of problems has attracted the attention of many, and there is now a considerable literature. The present state of this sphere of questions will be described briefly in a general sort of way, and a few outstanding problems will be indicated, but no attempt at completeness has been made. 2. The coefficient problem. Let 5 be the family of functions (2.1) ƒ(*) = z + a2z2 + azzz + • • •

which are regular and schlicht in \z\ < 1 . The most famous problem concerning these functions is whether \an\ ^n (n~2, 3, • • • ), with equality for any n only in the case when (2.2) ƒ(*) =

(1 Z

rjz)2

= z + 2Vz* + 3*8» + • • • ,

| n | - 1.

An address delivered before the Los Angeles meeting of the Society on November 30, 1946, by invitation of the Committee to Select Hour Speakers for Far Western Sectional Meetings; received by the editors December 30, 1946.

417

418

D. C. SPENCER

[May-

It is this problem which has stimulated much of the research leading to the various methods, in particular the method of parametric representation given by Löwner [7 J1 in 1923 and the recent methods (see [ l l , 12]) in which the extremal function is compared with infinitesimal variations more general than those provided by Löwner's method. There are several short proofs that \an\ ^n (n — 2, 3, • • • ) when all the coefficients are real, and a simple proof, due to Rogosinski [lO], will be sketched here. Without loss of generality we may assume that ƒ is regular and schlicht in \z\ ^ 1 , for every schlicht function is the limit of such functions. Since ƒ has real coefficients, it takes conjugate values for conjugate values of z and so the map of | z\ < 1 by ƒ is symmetrical with respect to the real axis. Since ƒ is schlicht, Im ƒ and Im s have the same sign in \z\ ^ 1 . The function (2.3) l—^-f(z)=p{z) z therefore has a positive real part in \z\ < 1 since on the boundary we have, writing z = ei6, Re p(eid)*=2 sin 0-Im f(ei9)^0. It follows that the coefficients of p are majorized by those of the function 1+z

« 1 + 2s + 2s2 + . . . .

1 — z Since the coefficients of this function as well as the coefficients of the function (2.4) — 1 — 2 = s + *3 + s 5 + . . . 1 — z

are positive, we see at once, multiplying both sides of (2.3) by (2.4), t h a t the coefficients of ƒ are majorized by the coefficients of the function (2.5)

Z iA

(1 - z)2

N9

- z + 2*2 + 3z* + . • . .

Similarly, \an\ ^n when ƒ maps \z\ < 1 on a star-like domain. In both cases equality is attained only when ƒ is of the form (2.2). We see here a connection between schlicht functions and functions with positive real part, a connection that will be further emphasized in §3 below. In the general case \an\ , 2f sin 2 tan a = 1 + 2r cos 2tf> + r2 2 2 Cx -s (1 + r) c o s A ç*2 = (1 ~r) sin $, 2r 2r X = Ci log

P

/ ( \

T

w\ < a < — ), 2 2/

+ C 2 a - 2 cos 0,

(1 + r)*

/x = C2 log — - Cia + 2 sin 0. (1 - r) 2 The second analytic surface is defined by 02 = (X2 + /z2)1'2 «3 = X2 + M2 + (Ci + fC«)(X - t/i) \ X — ifx + (r + — + cos 2* Y X + ijit If ƒ(2) belongs to a point on this boundary surface of 5| 0) , then w=/(z) maps \z\ < 1 on the w-plane minus a single curved analytic p x

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SOME PROBLEMS IN CONFORMAL MAPPING

421

slit extending from w = to some finite point. As r—»0, the slit tends = * to a straight line arg (w) = constant and the corresponding ƒ tends to z/{l+er»z)K Asr->1, X — 2 cos {log (cos ju — 2(sin — cos 0). »

T h a t is, r = 1 corresponds to the edge of intersection of the two surfaces. For functions w—f(z) belonging to this edge, one of the two prongs of the fork is absent. Even in the case w = 3 w e observe that the equations defining the boundary of 5 3 are sufficiently complicated that it is difficult to infer directly from them t h a t |a 3 | g 3 . Since for n>3 the situation is much more complicated, the precise bounds for the coefficients, a specific question about these regions, remain undetermined. Other questions concerning these regions may be asked; for example, what are the maximum and minimum distances of the boundary of Sn from the origin (distance from the origin being equal to G C ^ I ^ I 2 ) 1 / 2 ). In the case of S 3 , the maximum distance of the boundary from the origin is (2 2 +3 2 ) 1 / 2 = 13 1/2 , attained only for functions of the form (2.2), and the minimum distance of the boundary from the origin is 3 1 / 2 /2, attained only for functions of the form 1 . . yz2 - -v2zz + • • • , U « 1{ l 1 - rjz/21^ + 17V 21'2 2 To each boundary point (a2y aZl • • • , an) of Sn there belongs one and only one function w *=f(z), and this iunction maps the unit circle on the w-plane minus piecewise analytic slits. Given any complex numbers p2, pz, • • • , pn, XX2I P*\2 = 1» let (2.8) = z+ L = Re fad* + pzaz + • • • + pnan) = (p2(t2 + p2&2 + * * ' + pndn + jMn)/2. If the maximum value of L in Sn is Af, then Sn lies entirely on one side of the (2n — 3)-dimensional hyperplane L~M. Since Sn cannot be convex for w > 2 , such a supporting hyperplane can touch the boundary only a t a well-defined subset of boundary points of Sn- Any function w=f belonging to a point of this subset maps \z\ < 1 on the w-plane minus one or more analytic slits meeting at infinity and each of these slits has no finite critical points and is therefore unforked. If for two different sets of numbers £2, pz, • • • , pn the corresponding Us given by (2.9) both have a local extremum at the same boundary point (a2, as, • • • , an) of S n , then the function ƒ belonging to this point is algebraic. These algebraic boundary functions map \z\ < 1 z 1

422

D. C. SPENCER

[May

onto the plane minus slits. It would be interesting to study the character of algebraic schlicht functions which map onto slit regions. The method used to characterize Sn has been sketched in [11(c)] and a detailed exposition is in course of preparation by A. C. Schaeffer and the author. Therefore, no attempt will be made to describe the method here. We remark only that the starting point of the method is to maximize a certain function F(a,2, â2, a3, âz, • • • , any ân) in 5 n , the maximum being attained at a boundary point {a^ a3, • • • , an). Iff belongs to this boundary point, a differential equation f o r / is obtained by making infinitesimal variations of this extremal function. The method then consists of a study of the resulting differential equation. In the next section (§3), Löwner's method of parametric representation will be briefly discussed. This method provides an e-variation of any schlicht function, but the variation is one-sided in that e can have only one sign. This defect does not occur in the more powerful variational methods recently developed (see [ l l ] and [12]). 3. Relations between coefficients of schlicht functions and coefficients of functions with positive real part. In the case of functions with positive real part, the regions of variability of the coefficients have been obtained by Carathéodory [ l ] , Toeplitz [13], and others. If numbers 71, 72, • • • , 7n-i are given, then there is a function (3.1) p(z) =

1 +

2 Ê M '

which is regular and has positive real part in \z\ < 1 with c\ = Yi> £2 = 72, • • • , cn-\ = Yn-i if and only if the Hermitian form n w

(3.2)

H = ]£ ]C YM-^V

is positive semi-definite, where 7o = 1 and 7_fc = 7 * is the complex conjugate of 7*. In geometrical language, there is a function p{z) with Re p(z)>0 in | s | < l if and only if (71, 72, • • • , 7 n -i) lies inside or on the boundary of the smallest convex region containing the curve eie, e2id, • • • , e i(n ~ 1)ô (6 real), and the interior of this region is characterized by the property that H is positive definite there. The nth region of variability Pn is the set of points (ci, c% • • • , cn-i) each of which belongs to some p(z). The points of Pn have the one-to-one parametric representation

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SOME PROBLEMS I N CONFORMAL MAPPING

423

(3.3)

n_x

~ 0 ^ 0,- < 2ir,

E / * / S 1, y-i EJ-IM/5*!-

and the boundary of Pn is characterized by the condition that T o each boundary point defined by (3.3) there belongs only one function, namely

«—I J JL (>Mjz n—1 E M / /«i

(3.4)

p(z)

- E M / » *.i 1 -

—> e**z 1.

Rogosinski [lO] has studied the class of functions f(z) = z + «222 + a3z8 + • • • which are regular for \z\ < 1 and have the property that Im ƒ and Im z have the same sign in \z\ < 1 , a property which implies that all the coefficients are real. We have seen that schlicht functions with real coefficients have this property, and the argument used above to prove that \an\ ^n for schlicht functions with real coefficients extends at once to this wider class of power series, a class of functions which Rogosinski has called "typically-real." In fact, if ƒ is typicallyreal then

(3.5)

Ll£.f(z)-p(z) z is a function of positive real part, and conversely. From this simple relation the variability regions Tn for the coefficients of typically-real functions are easily obtained from the corresponding regions Pn for functions with positive real part. I t is readily seen that Tn is the smallest convex region containing the wth variability region for schlicht functions all of whose coefficients are real. This raises an interesting question: what is the smallest convex region containing Sn itself? A domain containing w = 0 is said to be star-like (with respect to w = 0) if any point of it can be joined to the origin by a straight-line segment which lies in the domain. The variability regions S* for the subfamily of schlicht functions which map \z\ < 1 onto star-like domains are also related to the regions Pn in a simple way. This follows from the fact that if ƒ maps | z | < 1 onto a star-like domain, then (3.6) ƒ(*) J-L-piz), zf(z)

424

D. C. SPENCER

[May

where p(z) is regular and has positive real part in \z\ < 1 . Conversely, if p(z) is regular and has positive real part in | s | < 1 , then (3.7) I —~rd^ J o tp{£) is regular in \z\ < 1 and maps the unit circle on a star-like domain. Writing /«-«exp

00

p{z) - 1 + 2 X ) ^ V , r-l we have

2

^

^

Ù2 =

— 2Ci,

#3 =

~" ^2 +

4Ci,

s a4 = ( - 2c3 + Udc2 - 24*0/3, The parametric representation of Pn given by (3.3) may be used to define a parametric representation of Sn*. Let

(3.9) ah = A*(01, 02, • • • , 0n-lî Ml, M2, * • ' , Mn-l)

(3.8)

be the £th coefficient of the function (3.10) ƒ(*) = — y=i ,

/*, ^ 0, 2 > , ^ 1,

II (1 ~ e**z)** which maps |JS| < 1 on a star-like domain. As the parameters vary over the parameter space, the point (a2, as, • • • , an) sweeps outS w *. The boundary of 5„* is characterized by the condition (3.11) Z \ , = 1, p«i and to each boundary point defined in this way there belongs the unique function given by (3.10). In this case the function (3.10) maps \z\ < 1 on the plane minus q ( l ^ g ^ w — 1) straight-line slits pointing toward the origin, and adjacent slits form at oo an angle equal to 2JJLVTT. The intersection of the boundary of Sn with Sn* is the subset of the boundary of Sf* for which

AM

n~~"l

(3.12)

fxv =

v

y

£ w „ = * — 1, v «i

k — 1

where m, and k are integers,

ra„^0,

2^kSn.

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SOME PROBLEMS IN CONFORMAI. MAPPING

425

The method of Löwner [7] provides a deeper connection between schlicht functions and functions with positive real part. Heuristically, the method may be briefly described as follows. For each r, O ^ r g T ( T X ) ) , let S(z, r ) , 5(0, r) = 0 , be a schlicht function mapping \z\ < 1 onto a star-like domain D*. Then for any t>0, the values of the function £""*.S(2, r) lie inside D* and so the function $=$(2;, t, r) =5~1(e""'5(2;, r ) , T), where S"1 denotes the function inverse to 5, is regular, schlicht and bounded by 1 in l^j < 1 . We have S(z, r) dt and so (3.13) S-K(r"S{z, t), t)=z^Aràt S (z, t) + o(At).

S'(Z,T)'

Now let us define a one-parameter family of functions (3.14) g(z, t) = y(t)(z + a2(t)z* + az(t)z* + • • • ) , y(t) > 0,

which are regular and schlicht in \z\ < 1 for O ^ ^ T and such that (3.15) By (3.13) dg(z, t) g(z, t + At) = g(z91) - 2 - ^ — - p(z, t)At + o(At) dz where p(z, t)=S(z, t)/(zS'(z, t)) has positive real part in \z\ < 1 . Dividing by At and letting At approach zero, we obtain the differential equation (3.16) (3.17) — - — = - z — - — p ( z , t). dt dz g(z, t + At) = g(S-Ke-AtS(z, /), /), t).

If we divide both sides of (3.17) by z and then take 2 = 0, we have

( 3 .18)

JUat

„ _

7(/),

y{t)

=

7(0)r«.

The equation (3.17) may also be given a direct geometrical interpretation. Suppose t h a t g(z, t) and p{z, t) are both regular and Re p>0 in | z | ^ 1 for O g / ^ T . Taking 3 = e" in (3.16) we have

426

D. C. SPENCER

[May

dg(eie, t) (3.19) g(é*, t + At) = g(e*t t) + i p(e", t)At + o(At). dB The map D% of | ^ | < 1 by g(z, /) is a domain bounded by an analytic curve; the quantity idg(ei$, t)/dO has the direction of the inner normal to the boundary of Dt at the point w = g(eie, t) and idg{eiB, t)/dd 'p(eie, t) is a vector which makes an angle less than TT/2 with this inner normal. Equation (3.19) states that the boundary point g(ei9, t+At) of the domain Dt+At lies inside Du Thus, as t increases from 0 to T, the domain Dt shrinks and, if t' (the map of \z\ < 1 by g(z, /'))• Actually, Löwner's parameter t moves in the opposite sense (corresponding to (3.24)), in which case the inclusion relation between D%* and Dt" is reversed, and he showed that any schlicht function of an everywhere dense set can be connected to the function f(z)=z by a curve corresponding to a function p(z, t) of the form (3.25) which depends continuously on /. If the functions p(z, t) are not restricted to be of the form (3.25) and if the continuity in / is dropped, then 3 it can be shown that any schlicht function can be connected to f(z}—z9 but it is not known t h a t this can be done using only functions of the form (3.25), even without continuity. Take / " = r , *' = 0 in (3.24), and let the value T of the parameter correspond tof(z) =z, in which case ak(T)=0 (& = 2, 3, • • • ). Writing ajb(O) =dk (k = 2, 3, • • • ), we then obtain, by recursion, the formulas : (3.26) (3.27) a2 = - 2 f e-TCi(T)dT,

Jo

a3 = - 2 f

e-^c2{T)dr + 4 ( f

e^Cl(r)dr\

,

o

e-ZTcz{r)dr + 12 I e~ 2r c 2 (r)Jr- | e-TCi{r)dr •/ o Jo

ƒ

• T /» r

- 8 ( ƒ e-Mr)dr J ,

8

An unpublished result of A. C. Schaeffer and the author.

428

#n

s=s

D. C. SPENCER

/ J \ IJ J- a i « a • • • ajfe

[May

I

••• I

exp

— X) avTv

* I I Cav{rv)dTldT2 • • • ^T*, v=l where r a i ^ . . . « f c = 2 A (^ — «i)(n — ai — a 2 ) • • • (n — ai — « 2 — • • • — «*), the ai, a 2 , • • • , a& being positive integers with sum n — l. Now the interior points of Sn are characterized by the property that bounded functions belong to them. Given an interior point (a2, a3, • • • , a») of Sn, let the minimum maximum modulus of all functions ƒ belonging to this point be e'(/^Q). The set of points of Sn which are representable by the formulas (3.26) to (3.29), in which the CV(T) 0> = 1, 2, • • • , n — 1) are measurable functions of T, is exactly the set of interior points of Sn corresponding to the values t^T. If, therefore, we take T= oo in these formulas, any point of 5 w may be given this integral representation for suitable choice of the curve (ci(r), £ 2 (r), • • • , cn-i(r)). More generally, given any schlicht function f(z) = z + a2z2 + azzz + • • • , there is a function p(z, r) = 1+2^^>:SS1CV(T)ZV such that the coefficients a n (« = 2, 3, • • • ) are given by (3.29). Conversely, given any function p(z, r ) , the coefficients denned by (3.29) belong to a schlicht function. The correspondence between f unctions ƒ (2) and p(z, r) is not one-to-one; in general infinitely many p(z, r) correspond to a schlicht function ƒ. To any ƒ which has real coefficients, there is a corresponding p(z, r) which has real coefficients. Now if Cu £2, £3, • • • belong to a function with positive real part, so do the numbers Re £1, Re c2, Re cz, • • • (this follows from the convexity of the family of functions p). Thus if in (3.29) we replace the c„(r) by their real parts, the resulting an belongs to a schlicht function with real coefficients. From this remark, it follows at once that |a 2 | r§2, \az\ g 3 , for complex coefficients. For example, to show that |a 3 | ^ 3 , we may suppose without loss of generality t h a t a 3 > 0 . For, given any schlicht function ƒ, we have only to consider the function e~i9f(ei9z) = z + a2ei$z2 + aze™zz + • • • which, for suitable choice of 0, will have a real non-negative third co-

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efficient. But if az is real we have from (3.27) (with T = oo) a3 = - 2 J - 4M e~2r Re

C2(T)

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...Crime Mapping: A Modernized Tool for Efficient Law Enforcement Criminologists are now using digital crime maps to create graphic representations of the spatial geography of crime (Siegel, 2012). This technology is a great example of taking an old, tried and true technique and modernizing it to make it exponentially more effective in modern day policing. By taking the old pushpin maps that have been used in every police department planning room for decades to track various crime metrics and converting them into digitized, searchable databases that incorporates crime data along with various other external data sources such as census and city planning data, law enforcement agencies are becoming more effective and efficient at suppressing crime. Digital crime mapping systems are designed to help law enforcement agencies identify and combat crime by enabling them to correlate and analyze crime data from any given location within their geographical areas of operation. This ability to graphically represent high crime “hot spots” within a city, broken down by type of crime, exact location of crime as well as date and time of day of the crime are allowing police departments to better allocate resources for more effective enforcement and mitigation efforts. The most widely used type of program is the automated pin type, which is essentially the 21st century version of the old wall map full of red pushpins. Most agencies use the data provided from......

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...Introduction : A lot is going on in recent times on the issue of competency mapping. A lot of resource is spent and consultants are invited to do competency mapping. Competency mapping is gaining much more importance and organizations are aware of having good human resources or putting the right people on right job. Competency mapping is important and is an essential exercise. Every well managed firm should have well defined roles and list of competencies required to perform each role effectively. Such list should be used for recruitment, performance management, promotions, placements and training needs identification. In performing or carrying out work, it is essential that the required job skills first be articulated. This information not only helps to identify individuals who have the matching skills for doing the work but also the skills that will enhance the successful performance of the work. Yet often to perform well, it is not enough just to have these skills. It is also critical to complement the skills with the necessary knowledge and attitudes. For e.g. the necessary knowledge will enable an individual to apply the right skills for any work situation that will arise while having the right attitude will motivate him to give his best efforts. These skills, knowledge and attitudes required for the work are usually collectively referred as competencies. How Is “Competency” Defined in the Context of This Article? Many definitions of the term......

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...1) The key software application used by the Tea Collection company The software used by the company are: • A website on which customers can shop online • Design software to create the patterns, prints, and the clothes in general. • A geographic data map software: to target new selling areas. Based on geo-mapping, the software selects the zones that are not saturated with children clothing stores, and correspond to the demographic and social characteristics of the brand. It is then possible to narrow where to implant new stores. • A website especially for retailers to place orders over directly on the Internet. 2) How does geo-mapping software help the company grow? Explain how sales representatives use the results of the geo-mapping system. In the case of Tea Collection, we have seen that geo-mapping software helped the company to target new selling area, by sorting zones by level of activity, saturation rate of children clothes and demographic specificities. Geo-Mapping is one of the most popular data representation techniques as it allows companies analyse an area without spending too much money having to travel to that location and carrying out surveys wasting precious time and money. Geospatial analysis captures, stores, manipulates, analyses and presents all types of spatial or geographical data, using spatio-temporal information, according to what the user is looking for. The data representation is quite interactive, where the user can define......

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...COMPETENCY MAPPING A competency is an underlying characteristic of an individual which enables him/her to deliver superior performance in a given situation. Competencies consist of clusters of knowledge, attitude and skill set. Competency mapping is the assessment of employee skill set as an individual and as part of a team. Competency mapping is a process of identifying key competencies for a particular position in an organization, and then using it for job-evaluation, recruitment, training and development, performance management, succession planning, etc. Competency mapping is about identifying behaviors and personal skills which distinguish excellent and outstanding performance from the average. It also involves identifying key competencies required by a team at a lower level and by the organization as a whole to achieve desired results. Competency mapping generally involves examining two areas i.e. emotional intelligence and other individual strengths like decision making, team work, performing under pressure etc. Steps in Competency mapping 1) Role Competencies To start at the basic level we need to understand and define role and role competencies mean a set of competencies required to perform a given role, each competency further has a skill set. a) Identification of Role Competencies i) Structure & list of roles. ii) Definition of roles. iii) Job description. iv) Competency requirement. b) Structure and List Roles: i) Organizational structure study and......

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...ARUGMENT MAPPING Week three assignment #1 Lionel Gantt Dr. Andre Lee PAD-520 Strayer University 04/25/2016 Create an argument map based on the influence diagram presented in Case 1.3 and complete all the criteria provided in the exercise, beginning with this claim: “The U.S. should return to the 55- mph speed limit in order to conserve fuel and save lives. Make a contention map taking into account the impact chart exhibited in Case 1.3 and finish every one of the criteria gave in the activity, starting with this claim: "The U.S. should come back to the 55-mph speed limit so as to moderate fuel and spare lives." "The law was a reaction to the 1973 oil ban, and its plan was to decrease fuel utilization. In the year after the National Maximum Speed Law was sanctioned, street fatalities declined 16.4%, from 54052 in 1973 to 45196 in 1974" (eric.ed.gov). In 1974, the government passed the National Maximum Speed Law, which confined the most extreme allowable vehicle speed farthest point to 55 miles for each hour (mph) on every single interstate street in the United States. As indicated by the Environmental Protection Agency, "you can accept that every 5 mph you drive more than 50 mph resemble paying an extra $0.25 per gallon for gas, in extra; driving every vehicle achieves its ideal efficiency at an alternate velocity; gas mileage for the most part reductions quickly at paces above 50 mph"(colostate.edu). Forceful heading to incudes; speeding, quick increasing speed......

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